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查看斯高帕斯 (Scopus) 概要
劉 建良
教授
工業工程與管理學系
https://orcid.org/0000-0002-2724-7199
電話
03-5712121 #57309
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clliu
nycu.edu
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1185
引文
18
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830
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2002
2024
每年研究成果
概覽
指紋
網路
計畫
(11)
研究成果
(59)
獎項
(2)
類似的個人檔案
(6)
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指紋
查看啟用 Chien-Liang Liu 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Engineering & Materials Science
Deep learning
100%
Machine learning
75%
Experiments
63%
Convolutional neural networks
56%
Sampling
52%
Data mining
51%
Ontology
49%
Time series
46%
Labels
38%
Learning algorithms
38%
Unsupervised learning
37%
Learning systems
36%
Supervised learning
35%
Electrocardiography
32%
Classifiers
32%
Clustering algorithms
26%
Recommender systems
24%
Blogs
24%
Deep neural networks
24%
Set theory
23%
Semantics
23%
Multi-task learning
22%
Chemical mechanical polishing
21%
Job shop scheduling
20%
Liver
19%
Network architecture
19%
Painting
19%
Decision trees
18%
Entropy
17%
Intrusion detection
16%
Bayesian networks
16%
Hidden Markov models
16%
Reinforcement learning
16%
Fault tolerance
16%
Electroencephalography
15%
Lead
15%
Semiconductor materials
14%
Feature extraction
14%
Long short-term memory
14%
Semi-supervised learning
14%
Glossaries
13%
Fusion reactions
13%
Factorization
12%
Logistic regression
12%
Students
12%
Collaborative filtering
12%
Servers
12%
Health
11%
Genetic algorithms
11%
Trajectories
11%
Mathematics
Learning
47%
Multivariate Time Series
42%
K-means
40%
Clustering
39%
Experimental Results
37%
Document Clustering
35%
Neural Networks
31%
Intrusion Detection
30%
K-means Clustering
29%
Ensemble Learning
29%
Experiment
29%
Machine Learning
28%
Text Classification
28%
Learning Algorithm
25%
Network Architecture
25%
Earliness
23%
Alzheimer's Disease
23%
Learning Process
22%
Interpretability
21%
Decision tree
21%
Data Mining
20%
Locality
19%
Classification Algorithm
18%
Clustering Algorithm
18%
Performance
18%
Confidence
17%
Model
17%
Performance Model
16%
Attribute
15%
Assignment
15%
Simplify
14%
Model-based
14%
Distributed Algorithms
14%
Alternatives
14%
Entropy
13%
Anomaly
12%
Speedup
11%
Prediction
11%
Memory Term
10%
Number of Clusters
10%
Classifier
10%
Dementia
10%
Distributed Architecture
10%
Prior Knowledge
9%
Logistic Regression
9%
Anomaly Detection
8%
Motion Detection
8%
Gibbs Sampling
7%
Distance Metric
7%
Sequential Algorithm
7%
Medicine & Life Sciences
Deep Learning
59%
Acute Kidney Injury
47%
Brugada Syndrome
46%
Electrocardiography
40%
Machine Learning
39%
Cardiac Arrhythmias
31%
Handwriting
24%
Datasets
19%
Validation Studies
18%
Electronic Health Records
18%
Hospitalization
18%
Area Under Curve
17%
Creatinine
15%
Lead
15%
Liver Transplantation
15%
Cardiologists
14%
Inpatients
13%
End Stage Liver Disease
11%
Cohort Studies
11%
Retrospective Studies
11%
Sensitivity and Specificity
9%
Kidney
9%
Taiwan
9%
Survival
9%
Recovery of Function
9%
Serum
8%
ROC Curve
8%
Bundle-Branch Block
8%
Forests
7%
Chronic Renal Insufficiency
7%
Databases
7%
Learning
7%
Sudden Cardiac Death
7%
methionylmethylsulfonium chloride
6%
Japan
5%